| Feature | AutoMQ | Apache Kafka | Confluent | Apache Pulsar | Redpanda | Warpstream |
|---|---|---|---|---|---|---|
| Apache Kafka Compatibility[1] | Native Kafka | Non-Kafka | Kafka Protocol | |||
| Source Code Availability | Yes | Yes | No | Yes | Yes | No |
| Stateless Broker | Yes | No | No | Yes | No | Yes |
| Publisher Latency(P99) | Single-digit ms latency | > 620ms | ||||
| Continuous Self-Balancing | Yes | No | Yes | Yes | Yes | Yes |
| Scale in/out | In seconds | In hours/days | In hours | In hours (scale-in); In seconds (scale-out) |
In hours In seconds (Enterprise Only) |
In seconds |
| Spot Instance Support | Yes | No | No | No | No | Yes |
| Partition Reassignment | In seconds | In hours/days | In hours | In seconds | In hours In seconds (Enterprise Only) |
In seconds |
| Component | Broker | Broker Zookeeper (Non-KRaft) |
Broker Zookeeper Bookkeeper Proxy(Optional) |
Broker | Agent MetadataServer |
|
| Durability | Guaranteed by S3/EBS[2] | Guaranteed by ISR | Guaranteed by Bookkeeper | Guaranteed by Raft | Guaranteed by S3 | |
| Inter-AZ Networking Fees | No | Yes | No | |||
[1] Apache Kafka Compatibility's definition is coming from this blog.
[2] EBS Durability: On Azure, GCP, and Alibaba Cloud, Regional EBS replicas span multiple AZs. On AWS, ensure durability by double writing to EBS and S3 Express One Zone in different AZs.
- Cost effective: The first true cloud-native streaming storage system, designed for optimal cost and efficiency on the cloud. Refer to this report to see how we cut Apache Kafka billing by 90% on the cloud.
- High Reliability: Leverage cloud-shared storage services(EBS and S3) to achieve zero RPO, RTO in seconds and 99.999999999% durability.
- Serverless:
- Auto Scaling: Monitor cluster metrics and automatically scale in/out to align with your workload, enabling a pay-as-you-go model.
- Scaling in seconds: The computing layer (broker) is stateless and can scale in/out within seconds, making AutoMQ a truly serverless solution.
- Infinite scalable: Utilize cloud object storage as the primary storage solution, eliminating concerns about storage capacity.
- Manage-less: The built-in auto-balancer component automatically schedules partitions and network traffic between brokers, eliminating manual partition reassignment.
- High performance:
- Low latency: Accelerate writing with high-performance EBS as WAL, achieving single-digit millisecond latency.
- High throughput: Leverage pre-fetching, batch processing, and parallel technologies to maximize the capabilities of cloud object storage.
Refer to the AutoMQ Performance White Paper to see how we achieve this.
- A superior alternative to Apache Kafka: 100% compatible with Apache Kafka and does not lose any key features, but cheaper and better.
AutoMQ adopts a Shared-Storage architecture, replacing the storage layer of Apache Kafka with a shared streaming storage library called S3Stream in a storage-compute separation manner, making the Broker completely stateless.
Compared to the classic Kafka Shared-Nothing or Tiered-Storage architectures, AutoMQ's computing layer (Broker) is truly stateless, enabling features such as Auto-Scaling, Self-Balancing, and Partition Reassignment in Seconds that significantly reduce costs and improve efficiency.
curl https://download.automq.com/community_edition/standalone_deployment/install_run.sh | bash
The easiest way to run AutoMQ. You can experience features like Partition Reassignment in Seconds and Continuous Self-Balancing in your local machine. Learn more
There are more deployment options available:
- Deploy on Linux with 5 Nodes
- Deploy on Kubernetes(Enterprise Edition Only)
- Runs on Ceph / MinIO / CubeFS / HDFS
- Try AutoMQ on Alibaba Cloud Marketplace
- Try AutoMQ on AWS Marketplace
You can join the following groups or channels to discuss or ask questions about AutoMQ:
- Ask questions or report a bug by GitHub Issues
- Discuss about AutoMQ or Kafka by Slack or Wechat Group
If you've found a problem with AutoMQ, please open a GitHub Issues. To contribute to AutoMQ please see Code of Conduct and Contributing Guide. We have a list of good first issues that help you to get started, gain experience, and get familiar with our contribution process. To claim one, simply reply with 'pick up' in the issue and the AutoMQ maintainers will assign the issue to you. If you have any questions about the 'good first issue' please feel free to ask. We will do our best to clarify any doubts you may have.
Want to learn more, Talk with our product experts.